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» Modeling, inference and optimization of regulatory networks ...
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EOR
2011
66views more  EOR 2011»
12 years 12 months ago
Modeling, inference and optimization of regulatory networks based on time series data
Gerhard-Wilhelm Weber, Ozlem Defterli, Sirma Zeyne...
BMCBI
2005
178views more  BMCBI 2005»
13 years 4 months ago
A quantization method based on threshold optimization for microarray short time series
Background: Reconstructing regulatory networks from gene expression profiles is a challenging problem of functional genomics. In microarray studies the number of samples is often ...
Barbara Di Camillo, Fatima Sanchez-Cabo, Gianna To...
GECCO
2004
Springer
132views Optimization» more  GECCO 2004»
13 years 10 months ago
Optimizing Topology and Parameters of Gene Regulatory Network Models from Time-Series Experiments
Abstract. In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. Different approaches to infer the dependencies of gene r...
Christian Spieth, Felix Streichert, Nora Speer, An...
BIOCOMP
2006
13 years 6 months ago
Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia
BMCBI
2007
197views more  BMCBI 2007»
13 years 5 months ago
Boolean networks using the chi-square test for inferring large-scale gene regulatory networks
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
Haseong Kim, Jae K. Lee, Taesung Park